Practical Business Statistics, Student Solutions Manual (e-only)
Nonfiction, Science & Nature, Mathematics, Applied
| Author: | Andrew Siegel | ISBN: | 9780123877222 |
| Publisher: | Elsevier Science | Publication: | April 15, 2011 |
| Imprint: | Academic Press | Language: | English |
| Author: | Andrew Siegel |
| ISBN: | 9780123877222 |
| Publisher: | Elsevier Science |
| Publication: | April 15, 2011 |
| Imprint: | Academic Press |
| Language: | English |
Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and
matter-of-fact approach to managerial statistics that carefully maintains–but
does not overemphasize–mathematical correctness. The book offers a deep
understanding of how to learn from data and how to deal with uncertainty while
promoting the use of practical computer applications. This teaches present and
future managers how to use and understand statistics without an overdose of
technical detail, enabling them to better understand the concepts at hand and
to interpret results. The text uses excellent examples with real world data
relating to the functional areas within Business such as finance, accounting,
and marketing. It is well written and designed to help students gain a solid
understanding of fundamental statistical principles without bogging them down
with excess mathematical details.
Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and
matter-of-fact approach to managerial statistics that carefully maintains–but
does not overemphasize–mathematical correctness. The book offers a deep
understanding of how to learn from data and how to deal with uncertainty while
promoting the use of practical computer applications. This teaches present and
future managers how to use and understand statistics without an overdose of
technical detail, enabling them to better understand the concepts at hand and
to interpret results. The text uses excellent examples with real world data
relating to the functional areas within Business such as finance, accounting,
and marketing. It is well written and designed to help students gain a solid
understanding of fundamental statistical principles without bogging them down
with excess mathematical details.
